Ethical Considerations in the Use of the Metaverse for Healthcare

Gaur, Loveleen; Gaur, Devanshi; Afaq, Anam

doi:10.4018/978-1-6684-9823-1.ch008

Advances in Medical Technologies and Clinical Practice

2023

DOI: 10.4018/978-1-6684-9823-1.ch008

|View full text |Cite

Ethical Considerations in the Use of the Metaverse for Healthcare

Loveleen Gaur,

Devanshi Gaur,

Anam Afaq

Abstract: The promotion of augmenting and enhancing healthcare in the ethical metaverse setting should be guided by the fundamental bioethical principles of beneficence, nonmaleficence, autonomy, and justice, focusing on minimising risks and adverse outcomes. Implementing a patient-centred strategy and establishing responsible regulatory measures are essential for harnessing the advantages of metaverse technology in the healthcare sector while effectively tackling the associated problems. The chapter explores the ethica… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Book5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 8 publications

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Roadmap for the Future of the Metaverse in Advanced Healthcare Industries

Jadekar,

B. H.,

Nijalingappa

2024

Advances in Medical Technologies and Clinical Practice

View full text Add to dashboard Cite

This chapter outlines a strategic roadmap for leveraging metaverse technologies to revolutionize healthcare delivery, education, and research. It addresses challenges like privacy, integrating new technologies, ensuring fair access and adaptation in healthcare management. The Metaverse is an arising innovation in the computerized space which has colossal expected in medical care, empowering sensible encounters to the patients as well as the clinical experts. The Metaverse is a point of different empowering innovations, for example, computerized reasoning, computer generated experience, increased reality, web of clinical gadgets, mechanical technology, quantum figuring, and so on. The mixture of these advancements guarantees vivid, close and customized patient consideration. It likewise gives versatile and acute arrangements that disposes the boundaries between medical care suppliers and receivers. The issues in the variation of the Metaverse for medical care applications are likewise distinguished and the alternative arrangements.

show abstract

Roadmap for the Future of the Metaverse in Advanced Healthcare Industries

Jadekar,

B. H.,

Nijalingappa

2024

Advances in Medical Technologies and Clinical Practice

View full text Add to dashboard Cite

show abstract

Promises, Opportunities, and Challenges

Afaq,

Chaudhary,

Gaur

2024

Advances in Computational Intelligence and Robotics

View full text Add to dashboard Cite

This chapter explores how generative artificial intelligence (AI) is revolutionizing healthcare by enhancing efficiency and creating new opportunities. Utilizing Large Language Models and advanced Conversational AI, this technology is transforming patient care, medical documentation, and research by optimizing processes, improving diagnostic accuracy, increasing patient engagement, and simplifying research. Key advancements include synthetic data creation, empathy bubbles for professional education, and clinical administrative support. However, integrating generative AI in healthcare raises critical issues such as clinical safety, regulatory compliance, data privacy, and copyright concerns. Addressing these challenges through customized AI responses, better user interfaces, and collaboration among healthcare organizations, pharmaceutical companies, and regulatory bodies is essential for harnessing AI's full potential. This chapter offers a comprehensive evaluation of generative AI's impact and the obstacles that must be overcome for its effective use in healthcare.

show abstract

Comparative Analysis of Several Different Multimodal Methods for the Development of Generative Artificial Intelligence

M.,

2024

Advances in Computational Intelligence and Robotics

View full text Add to dashboard Cite

Generative AI models may generate massive amounts of fresh material from their training data. Besides text, they may create graphics, music, video, and more. One explanation for their unexpected popularity is its widespread effect on numerous sectors. Text, picture, and music creation are among their numerous uses. Further uses include healthcare, education, and met aversion. However, these models' design and execution remain difficult. Problems include dependability, biased material, overfitting, and restrictions. This study seeks to examine multimodal generative AI systems' similarities and differences. These criteria involve input, output, development authority, frameworks, and tools. These examples show how multimodal generative AI models are used in many industries.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Ethical Considerations in the Use of the Metaverse for Healthcare

Cited by 8 publications

References 64 publications

Roadmap for the Future of the Metaverse in Advanced Healthcare Industries

Roadmap for the Future of the Metaverse in Advanced Healthcare Industries

Promises, Opportunities, and Challenges

Comparative Analysis of Several Different Multimodal Methods for the Development of Generative Artificial Intelligence

Contact Info

Product

Resources

About